Searching and Learning by Trial and Error
I study a dynamic model of trial-and-error search in which agents do not have complete knowledge of how choices are mapped into outcomes. Agents learn about the mapping by observing the choices of earlier agents and the outcomes that are realized. The key novelty is that the mapping is represented as the realized path of a Brownian motion. I characterize for this environment the optimal behavior each period as well as the trajectory of experimentation and learning through time. Applied to new product development, the model shares features of the data with the well-known Product Life Cycle. (JEL D81, D83, D92, L26)
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Volume (Year): 101 (2011)
Issue (Month): 6 (October)
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- Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
- Robert S. Gibbons, 2010.
"Inside Organizations: Pricing, Politics, and Path Dependence,"
Levine's Working Paper Archive
661465000000000249, David K. Levine.
- Robert Gibbons, 2010. "Inside Organizations: Pricing, Politics, and Path Dependence," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 337-365, 09.
- Mansfield, Edwin & Schwartz, Mark & Wagner, Samuel, 1981. "Imitation Costs and Patents: An Empirical Study," Economic Journal, Royal Economic Society, vol. 91(364), pages 907-18, December.
- Jovanovic, Boyan & Nyarko, Yaw, 1996.
"Learning by Doing and the Choice of Technology,"
Econometric Society, vol. 64(6), pages 1299-1310, November.
- Jovanovic, B. & Nyarko, Y., 1996. "Learning by Doing and the Choice of Technology," Working Papers 96-25, C.V. Starr Center for Applied Economics, New York University.
- Boyan Jovanovic & Yaw Nyarko, 1994. "Learning By Doing and the Choice of Technology," NBER Working Papers 4739, National Bureau of Economic Research, Inc.
- Klepper, Steven, 1996. "Entry, Exit, Growth, and Innovation over the Product Life Cycle," American Economic Review, American Economic Association, vol. 86(3), pages 562-83, June.
- Thomas Piketty, 1995.
"Social Mobility and Redistributive Politics,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 110(3), pages 551-584.
- Aghion, P. & Bolton, P. & Harris, C. & Jullien, B., 1990.
"Optimal Learning By Experimentation,"
DELTA Working Papers
90-10, DELTA (Ecole normale supérieure).
- Stefan H. Thomke, 1998. "Managing Experimentation in the Design of New Products," Management Science, INFORMS, vol. 44(6), pages 743-762, June.
- Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
- Coscelli, Andrea & Shum, Matthew, 2004. "An empirical model of learning and patient spillovers in new drug entry," Journal of Econometrics, Elsevier, vol. 122(2), pages 213-246, October.
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